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Cited by 537

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

The robustness of identified VAR conclusions about money

Open access
Faust, Jon·1998·Carnegie-Rochester Conference Series on Public Policy
DOI 10.1016/s0167-2231(99)00009-3
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Abstract

This paper presents a new way to assess robustness of claims from identified VAR work. All possible identifications are checked for the one that is worst for the claim, subject to the restriction that the VAR produce reasonable impulse responses to shocks. The statistic on which the claim is based need not be identified; thus, one can assess claims in large models using minimal restrictions. The technique reveals only weak support for the claim that monetary policy shocks contribute a small portion of the forecast error variance of postwar U.S. output in standard 6-variable and 13-variable models.

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Metadata

Authors
Faust, J.
Venue
Carnegie-Rochester Conference Series on Public Policy
Publisher
Elsevier BV
Published
1998-12
Volume
49
Pages
207-244
ISSN
0167-2231 (ISSN-L)
DOI
10.1016/s0167-2231(99)00009-3
OpenAlex
W2140454830
Cited by
537
References
20
FWCI
15.40
Type
conference paper
Language
en
Open access
green

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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CoChat. (2026). Citation check: The robustness of identified VAR conclusions about money. https://app.cochat.ai/papers/10.1016/s0167-2231(99)00009-3
The paper
Faust, J. (1998). The robustness of identified VAR conclusions about money. Carnegie-Rochester Conference Series on Public Policy. https://doi.org/10.1016/s0167-2231(99)00009-3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.